Remote Contract Software Engineer — AI Data Mining

Benture

Pakistan

Remote

PKR 30,233,000 - 45,349,000

Part time

14 days+
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Job summary

Turing is hiring a Software Engineer for the Mining team on a contract basis. This remote 5-week engagement requires 40 hours per week with at least 6 hours overlapping PST. Work focuses on transforming real-world workflows into long-horizon, testable tasks for AI agents.

You will write evaluation rubrics, validate task quality through QA, and collaborate with engineers building Python backends that simulate SaaS tools, ensuring accurate, scalable task design and execution.

Qualifications

  • Strong backend software engineering experience, primarily in Python.
  • Working knowledge of GCP, Docker, virtual machines, and Harbor.
  • Excellent written communication; rubric and QA writing is core to this role.
  • High daily proficiency with AI coding tools (e.g., Claude Code, Cursor, Copilot) — a hard requirement.

Responsibilities

  • Mine real data, tools, and workflows to understand how knowledge work is performed across enterprise apps.
  • Author long-horizon agent tasks grounded in research with realistic, multi-step objectives.
  • Write clear evaluation rubrics defining correct, complete, and high-quality task completion.
  • Validate task quality, realism, and correctness through rigorous QA; identify ambiguity and gaps before tasks ship.
  • Collaborate with the connectors team to ground tasks in realistic environments (Slack, Linear, Jira, Notion, Gmail, wikis).
  • Reproduce and debug failures, feeding findings back to task authors and connectors engineers.
  • Help define and improve QC standards, checklists, and processes as the initiative scales.

Skills

Python backend
GCP
Docker
Virtual machines
Harbor
AI coding tools

Tools

GCP
Docker
Harbor
Virtual Machines

Job description

Turing is hiring a Software Engineer for the Mining team on a contract basis. This remote 5-week engagement requires 40 hours per week with at least 6 hours overlapping PST. Work focuses on transforming real-world workflows into long-horizon, testable tasks for AI agents.

You will write evaluation rubrics, validate task quality through QA, and collaborate with engineers building Python backends that simulate SaaS tools, ensuring accurate, scalable task design and execution.

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